Triple

T2974067
Position Surface form Disambiguated ID Type / Status
Subject Aswan Governorate E80351 entity
Predicate containsCity P294 FINISHED
Object Daraw
Daraw is a town in southern Egypt known historically as a regional trading center, particularly for its camel market, within the Aswan Governorate.
 E316960 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Daraw | Statement: [Aswan Governorate, containsCity, Daraw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daraw
Context triple: [Aswan Governorate, containsCity, Daraw]
  • A. Dara
    Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
  • B. Damkina
    Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
  • C. Darsa
    Darsa is a small, sparsely inhabited island in the Indian Ocean that forms part of Yemen’s remote Socotra archipelago, known for its isolation and rich marine life.
  • D. Nebit-Dag
    Nebit-Dag is the former name of Balkanabat, a city in western Turkmenistan known for its role in the country’s oil and gas industry.
  • E. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daraw
Triple: [Aswan Governorate, containsCity, Daraw]
Generated description
Daraw is a town in southern Egypt known historically as a regional trading center, particularly for its camel market, within the Aswan Governorate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daraw
Target entity description: Daraw is a town in southern Egypt known historically as a regional trading center, particularly for its camel market, within the Aswan Governorate.
  • A. Dara
    Dara is a given name most prominently associated with Dara Khosrowshahi, the Iranian-American businessman and CEO of Uber.
  • B. Damkina
    Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
  • C. Darsa
    Darsa is a small, sparsely inhabited island in the Indian Ocean that forms part of Yemen’s remote Socotra archipelago, known for its isolation and rich marine life.
  • D. Nebit-Dag
    Nebit-Dag is the former name of Balkanabat, a city in western Turkmenistan known for its role in the country’s oil and gas industry.
  • E. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9987bb6c8190adfb447b76276962 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108e6a5448190ae32e6d2db8e7248 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10a9ba2248190b756cb92437f49ec completed March 11, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69b10bb131e48190b0982db3a9656ddc completed March 11, 2026, 6:29 a.m.
Created at: March 8, 2026, 2:58 p.m.